The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Aug. 25, 2020

Filed:

Sep. 19, 2018
Applicant:

Panasonic Intellectual Property Management Co., Ltd., Osaka, JP;

Inventors:

Kensuke Wakasugi, Tokyo, JP;

Yoshikuni Sato, Osaka, JP;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04L 29/06 (2006.01); G06N 3/08 (2006.01); G06T 7/13 (2017.01); G06T 7/136 (2017.01); G06T 7/12 (2017.01); G06T 5/00 (2006.01); G06T 7/00 (2017.01);
U.S. Cl.
CPC ...
H04L 63/1425 (2013.01); G06N 3/08 (2013.01); G06T 5/002 (2013.01); G06T 7/0002 (2013.01); G06T 7/12 (2017.01); G06T 7/13 (2017.01); G06T 7/136 (2017.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30168 (2013.01);
Abstract

An anomaly detection method includes generating second data by adding normal noise to first data; generating third data by adding abnormal noise to the first data; inputting the first data, the second data, and the third data to a neural network; calculating a first normal score, a second normal score, and a third normal score; calculating a third difference based on a first difference and a second difference, the first difference being based on a difference between the first normal score and the second normal score, the second difference being based on a difference between the first normal score and the third normal score; changing the neural network so that the third difference becomes smallest; inputting, to the changed neural network, fourth data that is unknown in terms of whether the fourth data is normal or abnormal; and determining whether the fourth data is normal or abnormal.


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